Assessment of a Method to Improve Cochlear Implant Users' Speech Perception in Noisy Environments While Maintaining Their Ability to Determine Where a Sound Originates From
NCT ID: NCT07323862
Last Updated: 2026-01-07
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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NOT_YET_RECRUITING
NA
25 participants
INTERVENTIONAL
2026-01-01
2026-08-31
Brief Summary
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* Does the algorithm improve speech perception in noisy environments?
* Does the algorithm allow listeners to determine where a sound is coming from?
Participants will
* Listen to and repeat sentences presented in the presence of noise
* Indicate the location that sounds originated from
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Detailed Description
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Conditions
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Study Design
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NA
SINGLE_GROUP
TREATMENT
NONE
Study Groups
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Speech perception and localization with different beamformers
Participants will listen to stimuli processed by different beamformer algorithms and repeat speech presented in noise and identify the location that sound originated from.
Modifying audio input for cochlear implant processor
Sound will be preprocessed with different beamformer algorithms and presented either through the auxiliary input port or via a streaming device to the participants' cochlear implant processor
Interventions
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Modifying audio input for cochlear implant processor
Sound will be preprocessed with different beamformer algorithms and presented either through the auxiliary input port or via a streaming device to the participants' cochlear implant processor
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
18 Years
ALL
No
Sponsors
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National Institute on Deafness and Other Communication Disorders (NIDCD)
NIH
Vortant Technologies, LLC
OTHER
University of Illinois at Urbana-Champaign
OTHER
Responsible Party
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Locations
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Speech and Hearing Science Building
Champaign, Illinois, United States
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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IRB25-0736
Identifier Type: -
Identifier Source: org_study_id
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